Software Developer with AI / Java

Purview Services; Dadri; On-site; INR 1,674,000 - 2,344,000; Full time

Job summary

Purview Services is seeking a senior AI software engineer with 7+ years in production Java applications, including React frontend and DevOps. You will design scalable backends, build AI-infused solutions, and lead SDLC activities while ensuring robust observability and security.

Experience with agentic AI frameworks (LangChain, LlamaIndex) and RAG pipelines is essential, along with Python expertise and cloud deployments on AWS/Azure/GCP. Strong communication is required.

Qualifications

• Experience applying AI to software development patterns and processes.
• A minimum of 7 years in production apps development in Java ecosystems, including frontend (React) and DevOps with high-pressure troubleshooting.
• Proficiency in Java and Web API development with scalable backend services.
• Strong React experience for dynamic, high-performance web apps.
• Expertise in SQL Server and advanced T-SQL scripting.
• Experience with CI/CD and SDLC processes.
• Hands-on with agentic AI frameworks (LlamaIndex, Pydantic-AI, LangChain).
• Designing RAG pipelines, knowledge graphs, and context-aware architectures.
• Strong Python skills with FastAPI, Pydantic, OpenAI API.
• Experience with observability tools for AI agents (Phoenix, Ragas).
• Knowledge of prompt engineering, memory management, and agent orchestration.
• Familiarity with AWS, Azure, GCP and production deployments of agentic solutions.
• Strong analytical, troubleshooting, and cross-stakeholder communication skills.
• Commitment to responsible AI practices.

Responsibilities

• Apply AI to software development patterns to transform product development at scale.
• Develop and maintain production-grade Java backends and frontends (React).
• Build secure, scalable APIs and backend services with Python/FastAPI.
• Design and implement agentic AI solutions and RAG pipelines.
• Ensure observability, monitoring, and performance tuning for AI agents.
• Collaborate with cross-functional teams throughout SDLC.

Skills

AI in software development

Java

Front-end development

DevOps

React

SQL / T-SQL

SDLC

Python

AI frameworks (LlamaIndex, LangChain)

RAG pipelines / knowledge graphs

Python libraries (FastAPI, Pydantic, O

Observability tools (Phoenix, Ragas)

Cloud platforms (AWS, Azure, GCP)

Prompt engineering / memory management

Agent orchestration patterns

Communication & troubleshooting

Responsible AI practices

Tools

FastAPI

Pydantic

OpenAI API

Job description

Role & responsibilities:

Job Requirements (Skills)

• Experience with application of AI to software development patterns and processes to transform the way teams build products at scale
• A minimum of 7 years of professional experience in production applications development in Java ecosystems including front-end development (preferrably React) and DevOps activities with a strong ability to troubleshoot, resolve, and prevent issues in a high-pressure environment.
• Proficiency in Java and Web API development, with a solid understanding of building and maintaining scalable, secure, and efficient backend services.
• Strong, hands-on experience with React, with a focus on building dynamic, interactive, and high-performance web applications.
• Expertise in database design and SQL skills, particularly with SQL Server, including advanced T-SQL scripting, query optimization, and performance tuning.
• Comprehensive experience in a DevOps activities like continuous integration, continuous delivery
• Experience with the Software Development Life Cycle (SDLC), including requirements gathering, design, development, testing, deployment, and maintenance.
• Exceptional problem-solving skills and a keen attention to detail, ensuring high-quality deliverables and efficient resolution of complex technical challenges.
• Hands-on experience with agentic AI frameworks such as LlamaIndex, Pydantic-AI, LangChain, or similar.
• Proficiency in designing and implementing RAG pipelines, knowledge graphs, and context-aware agent architectures.
• Strong programming skills in Python and familiarity with relevant libraries (e.g., FastAPI, Pydantic, OpenAI API).
• Experience with observability and evaluation tools for AI agents, such as Phoenix and Ragas, including setting up monitoring dashboards and performance metrics.
• Solid understanding of prompt engineering, memory management, and agent orchestration patterns.
• Familiarity with cloud platforms (AWS, Azure, GCP) and deploying agentic solutions in production environments.
• Strong analytical, troubleshooting, and communication skills, with the ability to explain complex agentic concepts to diverse stakeholders.
• Commitment to responsible AI practices, including transparency, fairness, and compliance with regulatory standards